Smart experience engineering to support collaborative design problems based on constraints modelling

Engineering design is a knowledge intensive process -- Experts’ experiences from different product life-cycle stages play a key role in problem solving during design decision making by linking up knowledge to find better solutions for a specific design problem -- Different approaches have been used...

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Autores:
Calad Álvarez, Alejandro
Mejía Gutiérrez, Ricardo
Maldonado Sanín, César
Szczerbicki, Edward
Tipo de recurso:
Fecha de publicación:
2014
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/4562
Acceso en línea:
http://hdl.handle.net/10784/4562
Palabra clave:
DISEÑO EN INGENIERÍA
CICLO DE VIDA DE LOS PRODUCTOS
MERCADEO
TOMA DE DECISIONES
DISEÑO DE PRODUCTOS
DISEÑO INDUSTRIAL
MEJORAMIENTO DE PROCESOS
INTELIGENCIA ARTIFICIAL
DESARROLLO DE NUEVOS PRODUCTOS
Engineering design
Product life cycle
Marketing
Decision-making
Process improvement
Process development
Artificial intelligence
New product development
Ingeniería Concurrente
Rights
License
Acceso cerrado
Description
Summary:Engineering design is a knowledge intensive process -- Experts’ experiences from different product life-cycle stages play a key role in problem solving during design decision making by linking up knowledge to find better solutions for a specific design problem -- Different approaches have been used to support Collaborative and Concurrent Product Design, such as Constraint Satisfaction Problem (CSP) modelling -- Additionally, due to the need of capitalizing these experiences, the Set of Experience Knowledge Structure (SOEKS) is used to store and manage experiences of decision making process -- However it was necessary to adapt the structure to property manage the constraints approach used in Engineering Design -- This article presents a proposed adaptation to SOEKS structure in order to be able to store and reuse CSP design experiences for further re-use and analysis of multiple experiences -- Finally, a case study is presented in order to show how the proposed approach can be used in the industrial application